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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 24466
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    Explanations

    words related to prioritization or importance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prioritization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tiny
    -0.76
    estern
    -0.75
    atures
    -0.74
    mbuds
    -0.73
    cap
    -0.72
    urst
    -0.71
    worms
    -0.69
    tub
    -0.69
    Afee
    -0.69
    ãĤ¦ãĤ¹
    -0.69
    POSITIVE LOGITS
     priority
    1.04
     priorit
    1.03
     prioritize
    1.00
     duty
    0.92
     priorities
    0.90
     consideration
    0.88
    priority
    0.86
     allocation
    0.86
     item
    0.78
     tasks
    0.77
    Activations Density 0.050%

    No Known Activations